Christopher E. Denniston
Impact in
- Geology top 10%
- 3D Surveying and Cultural Heritage
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
Papers in
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- Robotic Path Planning Algorithms 6
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- Robotics and Sensor-Based Localization 6
- Co-authors
- Yun Chang (2 shared papers)Luca Carlone (2 shared papers)Ali–akbar Agha–mohammadi (3 shared papers)Andrzej Reinke (2 shared papers)Kamak Ebadi (2 shared papers)Benjamin J. Morrell (2 shared papers)Gaurav S. Sukhatme (7 shared papers)Jingnan Shi (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (3 papers)IEEE Transactions on Robotics (1 paper)arXiv (Cornell University) (1 paper)2022 International Conference on Robotics and Automation (ICRA) (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Christopher E. Denniston
10 papers receiving 298 citations
Christopher E. Denniston's Hit Papers
Peers
Comparison fields: 5 of 46
- Geology 50
- Aerospace Engineering 212
- Computer Vision and Pattern Recognition 166
- Control and Systems Engineering 51
- Ocean Engineering 30
Countries citing papers authored by Christopher E. Denniston
This map shows the geographic impact of Christopher E. Denniston's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christopher E. Denniston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher E. Denniston more than expected).
Fields of papers citing papers by Christopher E. Denniston
This network shows the impact of papers produced by Christopher E. Denniston. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christopher E. Denniston. The network helps show where Christopher E. Denniston may publish in the future.
Co-authors
The 22 scholars most cited alongside Christopher E. Denniston, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Present and Future of SLAM in Extreme Environments: The DARPA SubT Challenge Hit paper breakdown → | 2023 | 121 |
| 2 | 2022 | 119 | |
| 3 | 2022 | 30 | |
| 4 | 2022 | 13 | |
| 5 | 2022 | 11 | |
| 6 | 2018 | 7 | |
| 7 | 2024 | 5 | |
| 8 | 2021 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 1 |
About Christopher E. Denniston
Christopher E. Denniston is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Mechanical Engineering and Control and Systems Engineering, having authored 10 papers that have together received 313 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (6 papers), Modular Robots and Swarm Intelligence (3 papers), Gaussian Processes and Bayesian Inference (2 papers), Maritime Navigation and Safety (1 paper), Robotics and Automated Systems (1 paper), Antibiotics Pharmacokinetics and Efficacy (1 paper) and Distributed Control Multi-Agent Systems (1 paper). The work is most often cited by research in Geology (50 citations), Aerospace Engineering (212 citations), Computer Vision and Pattern Recognition (166 citations), Control and Systems Engineering (51 citations) and Ocean Engineering (30 citations). Christopher E. Denniston has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Yun Chang, Luca Carlone, Ali–akbar Agha–mohammadi, Andrzej Reinke, Kamak Ebadi, Benjamin J. Morrell, Gaurav S. Sukhatme, Jingnan Shi, Antoni Rosinol Vidal and Matteo Palieri. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Robotics, arXiv (Cornell University) and 2022 International Conference on Robotics and Automation (ICRA).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.